Artificial intelligence is creating enormous opportunities for businesses.
It can reduce administrative workload, improve customer service, automate repetitive tasks and help employees work more efficiently. Organisations across the UK are investing heavily in AI tools, Microsoft Copilot, automation platforms and business intelligence solutions as they look for competitive advantage.
Unfortunately, businesses are not the only ones benefiting from AI.
Cybercriminals are using the same technology to become faster, more convincing and more effective. At the same time, employees are increasingly exposing business information through unapproved AI tools, creating risks many organisations do not realise exist.
As AI adoption accelerates, basic cybersecurity has never been more important.
AI Is Making Cybercrime Easier
Historically, cybercrime required a reasonable level of technical knowledge.
Today, AI is helping lower the barrier to entry.
According to Europol, generative AI is reducing the technical skills required for digital crime by helping criminals create convincing phishing emails, fake documents, malware, voice clones and deepfake content. These tools are widely accessible and require minimal expertise to use.
Large language models can now help attackers:
- Write convincing phishing emails
- Research organisations and staff
- Create malware and scripts
- Impersonate executives
- Generate fake invoices and documents
- Conduct fraud at scale
The result is not necessarily more sophisticated attacks. The real danger is that attackers can launch far more attacks, far more quickly, and with a much greater chance of success.
Phishing Is Becoming More Convincing
For years, phishing emails were often easy to spot.
Poor grammar, spelling mistakes and obvious warning signs helped users identify suspicious messages.
AI is changing that.
Modern AI tools can create highly convincing emails written in fluent English, tailored to specific industries, roles and individuals. Attackers can generate dozens of variations in seconds, helping them bypass traditional email filtering methods.
This remains one of the biggest cyber threats facing UK organisations today.
According to the UK Government’s Cyber Security Breaches Survey, 43% of UK businesses reported experiencing a cyber security breach or attack within the previous 12 months.
Phishing remains the most common attack method.
The reality is simple. If cybercriminals can use AI to create more believable phishing campaigns, organisations must become even more disciplined when it comes to cyber awareness training, email security and user vigilance.
Source: UK Government Cyber Security Breaches Survey 2025/26
AI Makes Attackers More Efficient
AI is not replacing cybercriminals.
It is making them more productive.
Tasks that once took hours can now take minutes.
Research from cybersecurity analysts and threat intelligence providers consistently highlights how AI is helping attackers automate reconnaissance, generate malicious code, draft phishing campaigns and streamline ransomware operations.
In many cases, AI is doing for cybercriminals exactly what businesses hope it will do for employees:
- Reduce effort
- Increase efficiency
- Improve output
- Scale operations
Businesses should assume attackers are benefiting from productivity gains too.
Shadow AI Creates New Risks Inside Your Business
Many discussions around AI focus on external threats.
However, one of the biggest risks often comes from inside the organisation.
Employees frequently use AI tools without approval, guidance or governance.
This is commonly referred to as Shadow AI.
Examples include:
- Uploading company documents into public AI tools
- Using personal ChatGPT accounts for work
- Entering customer information into AI assistants
- Sharing confidential business data with external platforms
- Using AI products that have not been reviewed by IT or management
Most employees do not do this maliciously.
They do it because they are trying to work more efficiently.
The problem is that convenience often wins over security.
AI Readiness Starts With Visibility
One of the biggest lessons from AI readiness assessments is that organisations often do not know how AI is currently being used within their business.
Before implementing any AI solution, leaders should be able to answer basic questions:
- Who is using AI?
- Which tools are being used?
- What information is being entered?
- Where is that information going?
- Are outputs being reviewed?
- Are approved alternatives available?
Many businesses discover widespread AI usage long before they formally launch an AI strategy.
This is why AI readiness and cybersecurity are closely connected.
You cannot govern what you cannot see.
Sensitive Data Is Becoming Easier to Expose
The value of AI comes from information.
Unfortunately, this creates a temptation to provide AI tools with sensitive data.
Staff may upload:
- Customer records
- Financial information
- HR documents
- Contracts
- Internal procedures
- Business plans
- Commercial data
Without proper governance, organisations may have little visibility over where this information ends up or how it is being processed.
This creates potential compliance, confidentiality and reputational risks.
The challenge is not necessarily the AI itself.
The challenge is how people use it.
Basic Cybersecurity Controls Matter More Than Ever
As AI changes the threat landscape, many organisations assume they need complex new security technologies.
In reality, the basics remain essential.
Strong cybersecurity foundations often provide the greatest protection against both traditional and AI-enabled attacks.
Key areas include:
Multi-Factor Authentication
Compromised passwords remain one of the most common attack vectors.
Adding a second layer of authentication significantly reduces risk.
Security Awareness Training
Employees remain the first line of defence.
Training should cover:
- Phishing recognition
- Social engineering
- AI-generated scams
- Safe AI usage
- Data handling responsibilities
Email Security
Most attacks still begin with email.
Effective filtering, monitoring and user training remain critical.
Data Governance
Organisations should understand:
- What information they hold
- Who has access to it
- How permissions are managed
- Which information can be used safely with AI
Endpoint Protection
Devices need to remain protected against increasingly sophisticated malware and ransomware threats.
AI Governance Policies
Staff need clear guidance on:
- Approved AI tools
- Acceptable use
- Data handling requirements
- Human oversight expectations
AI Security Is Now a Business Issue
AI is no longer purely an IT discussion.
It affects:
- Risk management
- Compliance
- Data protection
- Information governance
- Human resources
- Operations
- Leadership teams
According to IBM’s Cost of a Data Breach research, organisations are adopting AI faster than they are implementing governance and security controls. IBM found that 63% of breached organisations either lacked an AI governance policy or were still developing one. The research also found evidence of AI-related breaches and identified a growing gap between AI adoption and security oversight.
Source: IBM Cost of a Data Breach Report 2025
The message is clear.
Businesses should treat AI governance as part of cybersecurity, not as a separate initiative.
AI Readiness and Cyber Readiness Go Hand in Hand
Many organisations are asking:
“Are we ready for AI?”
A better question may be:
“Are we secure enough for AI?”
Successful AI adoption requires more than choosing the right platform.
It requires:
- Information governance
- Permission reviews
- User training
- Clear policies
- Security controls
- Visibility over usage
- Defined business objectives
Without these foundations, AI can amplify existing weaknesses.
With them, AI can become a powerful business tool that delivers real value while maintaining security and control.
Final Thoughts
AI is changing business.
It is also changing cybercrime.
Attackers are using AI to become faster, more convincing and more efficient. Employees are increasingly experimenting with AI tools that may expose sensitive information. The volume of data flowing through digital platforms continues to grow.
This is not a reason to avoid AI.
It is a reason to strengthen the basics.
The organisations that gain the most value from AI over the next decade are unlikely to be those with the newest tools.
They will be the organisations with the strongest foundations.